Autonomous parsing of behavior in a multi-agent setting

D. Vanderelst, E. Barakova

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

1 Citaat (Scopus)


Imitation learning is a promising route to instruct robotic multi-agent systems. However, imitating agents should be able to decide autonomously what behavior, observed in others, is interesting to copy. Here we investigate whether a simple recurrent network (Elman Net) can be used to extract meaningful chunks from a continuous sequence of observed actions. Results suggest that, even in spite of the high level of task specific noise, Elman nets can be used for isolating re-occurring action patterns in robots. Limitations and future directions are discussed.

Originele taal-2Engels
TitelArtificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Zakopane, Poland, June 22-26. Proceedings
RedacteurenL. Rutkowski, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada
Aantal pagina's12
StatusGepubliceerd - 4 aug 2008
Evenement9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008) - Zakopane, Polen
Duur: 22 jun 200826 jun 2008
Congresnummer: 9

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5097 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349


Congres9th International conference on Artificial Intelligence and Soft Computing (ICAISC 2008)
Verkorte titelICAISC 2008
AnderICAISC 2008: Artificial Intelligence and Soft Computing ; 9th International conference, Zakopane, Poland, June 22-26 2008

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